Generative artificial intelligence acceptance, anxiety, and behavioral intention in the middle east: a TAM-based structural equation modelling approach.

Journal: BMC nursing
Published Date: Jul 1, 2025

Abstract

BACKGROUND: Adopting generative artificial intelligence (GenAI) in education rapidly transforms learning environments, yet nursing students' acceptance and anxiety toward these technologies remain underexplored in Middle Eastern contexts. This study extends the Technology Acceptance Model (TAM) by incorporating constructs such as Facilitating Conditions (FC) and Social Influence (SI). It investigates the moderating role of Anxiety on Behavioral Intention to Use (BIU) generative AI tools.

Authors

  • Mona Gamal Mohamed
    Adult Health Nursing. RAK College of Nursing, RAK Medical and Health Sciences University, Al Qusaidat, Near RAK Hospital, PO Box: 11172, Ras Al-Khaimah, UAE. mona@rakmhsu.ac.ae.
  • Polat Goktas
    UCD School of Computer Science, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland.
  • Shimaa Abdelrahim Khalaf
    College of Applied Medical Sciences in Yanbu Governorate, Taibah University, Yanbu, KSA, Saudi Arabia.
  • Aycan Kucukkuya
    Hematology Department, Koc University Hospital, Istanbul, Turkey.
  • Ibrahim Al-Faouri
    Dean of RAK College of Nursing, RAK Medical and Health Sciences University, Ras Al-Khaimah, UAE.
  • Ebtisam Abd Elazeem Saber Seleem
    Faculty of Nursing, Zarqa University, Zarqa, Jordan.
  • Awatef Ibraheem
    College of Applied Medical Sciences in Yanbu Governorate, Taibah University, Yanbu, KSA, Saudi Arabia.
  • Aya M Abdelhafez
    Gynecological and Obstetric Nursing, Faculty of Nursing, Assiut University, Assiut, Egypt.
  • Saleh O Abdullah
    Department of Psychiatric and Mental Health Nursing, Faculty of Medicine & Health Science, Hodeidah University, Al Hudaydah, Yemen.
  • Hanan Nasef Zaki
    College of Applied Medical Sciences in Yanbu Governorate, Taibah University, Yanbu, KSA, Saudi Arabia.
  • Abdulqadir J Nashwan
    Nursing Department, Hamad Medical Corporation, P.O. Box 3050, Doha, Qatar. anashwan@hamad.qa.

Keywords

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